RESUMEN
Objective To analyze the spatio-temporal characteristics and influencing factors of local hospitalization proportion in 57 counties of Guangdong Province.Methods Using local hospitalization proportion and related indicators in 57 counties of Guangdong Province from 2016 to 2019,temporal trend analysis and spatial autocorrelation analy-sis were used to analyze the spatiotemporal characteristics.Bayesian spatio-temporal model was used to explore in-fluencing factors of local hospitalization proportion.Results The local hospitalization proportion in Guangdong Province rose from 79.8%in 2016 to 84.1%in 2019,showing an increasing trend and the overall characteristics of"high in the west and low in the east".The global and local spatial autocorrelation results show that there is a spatial correla-tion in the local hospitalization proportion within the counties of Guangdong Province,and spatial aggregation has formed in some areas.There is a"high"aggregation in western Guangdong,and a"low"aggregation in eastern Guangdong Province.The Bayesian spatio-temporal model shows that the number of people with a bachelor's de-gree or above per 1 000 population and the CMI of county hospitals had an effect on the local hospitalization propor-tion(P＜0.05).Conclusion Guangdong Province can improve the medical service capacity of county hospitals sub-stantially and introduce or train high-quality talents through multiple measures,and continue to improve the local hospitalization proportion.